Yakov Z. Tsypkin

481 total citations
12 papers, 310 citations indexed

About

Yakov Z. Tsypkin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Yakov Z. Tsypkin has authored 12 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 1 paper in Political Science and International Relations. Recurrent topics in Yakov Z. Tsypkin's work include Control Systems and Identification (6 papers), Fault Detection and Control Systems (5 papers) and Stability and Control of Uncertain Systems (4 papers). Yakov Z. Tsypkin is often cited by papers focused on Control Systems and Identification (6 papers), Fault Detection and Control Systems (5 papers) and Stability and Control of Uncertain Systems (4 papers). Yakov Z. Tsypkin collaborates with scholars based in Russia, Australia and United States. Yakov Z. Tsypkin's co-authors include Siniša Nikolić, B. T. Polyak, Yossi Chait, K. Furuta, Kevin Warwick, David J. Hill, Alf Isaksson, S. Bittanti, Minyue Fu and B.T. Polyak and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Journal of the Franklin Institute.

In The Last Decade

Yakov Z. Tsypkin

11 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yakov Z. Tsypkin Russia 6 156 97 44 33 23 12 310
Richard S. Marleau United States 5 173 1.1× 53 0.5× 15 0.3× 17 0.5× 11 0.5× 12 325
Anthony F. Hotz United States 5 334 2.1× 71 0.7× 36 0.8× 18 0.5× 17 0.7× 10 448
Thordur Runolfsson United States 10 263 1.7× 37 0.4× 34 0.8× 25 0.8× 11 0.5× 48 427
Babak Hassibi United States 3 243 1.6× 107 1.1× 41 0.9× 51 1.5× 9 0.4× 6 374
Fred W. Smith United States 9 66 0.4× 137 1.4× 20 0.5× 19 0.6× 13 0.6× 35 337
Jiang Weisun China 6 125 0.8× 82 0.8× 57 1.3× 23 0.7× 115 5.0× 15 393
AJ Smola Germany 7 71 0.5× 169 1.7× 12 0.3× 16 0.5× 13 0.6× 11 341
Guang Zheng United Kingdom 6 100 0.6× 159 1.6× 16 0.4× 19 0.6× 11 0.5× 11 344
A. Tikku United States 6 495 3.2× 31 0.3× 57 1.3× 10 0.3× 11 0.5× 9 554
Min Meng China 9 175 1.1× 36 0.4× 67 1.5× 102 3.1× 8 0.3× 23 341

Countries citing papers authored by Yakov Z. Tsypkin

Since Specialization
Citations

This map shows the geographic impact of Yakov Z. Tsypkin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yakov Z. Tsypkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yakov Z. Tsypkin more than expected).

Fields of papers citing papers by Yakov Z. Tsypkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yakov Z. Tsypkin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yakov Z. Tsypkin. The network helps show where Yakov Z. Tsypkin may publish in the future.

Co-authorship network of co-authors of Yakov Z. Tsypkin

This figure shows the co-authorship network connecting the top 25 collaborators of Yakov Z. Tsypkin. A scholar is included among the top collaborators of Yakov Z. Tsypkin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yakov Z. Tsypkin. Yakov Z. Tsypkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Tsypkin, Yakov Z., et al.. (1999). Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances. IEEE Transactions on Neural Networks. 10(2). 303–312. 13 indexed citations
3.
Tsypkin, Yakov Z., et al.. (1998). Kalman estimation with brownian disturbances. Journal of the Franklin Institute. 335(7). 1195–1205. 2 indexed citations
4.
Tsypkin, Yakov Z. & K. Furuta. (1995). Frequency‐domain criteria of robust stability: Discrete‐time and continuous‐time systems, a unified approach. International Journal of Robust and Nonlinear Control. 5(3). 207–222. 5 indexed citations
5.
Tsypkin, Yakov Z., David J. Hill, & Alf Isaksson. (1994). A frequency-domain robust instability criterion for time-varying and non-linear systems. Automatica. 30(11). 1779–1783. 5 indexed citations
6.
Fu, Minyue & Yakov Z. Tsypkin. (1993). Modified Mikhailov plots for robust absolute stability with non-parametric perturbations and uncertain nonlinearity. International Journal of Control. 58(4). 925–932. 2 indexed citations
7.
Chait, Yossi & Yakov Z. Tsypkin. (1993). SISO QFT Design With Non-Parametric Uncertainties. 1694–1695. 8 indexed citations
8.
Tsypkin, Yakov Z., et al.. (1992). An optimal algorithm for identification of rapidly time-varying systems. IEEE Transactions on Automatic Control. 37(2). 237–239. 4 indexed citations
9.
Tsypkin, Yakov Z.. (1992). A Russian life in control. IEE Review. 38(9). 313–313. 1 indexed citations
10.
Tsypkin, Yakov Z. & B. T. Polyak. (1991). Frequency domain criteria for l/sup p/-robust stability of continuous linear systems. IEEE Transactions on Automatic Control. 36(12). 1464–1469. 70 indexed citations
11.
Tsypkin, Yakov Z., et al.. (1981). On convergence of the recursive identification algorithms. IEEE Transactions on Automatic Control. 26(5). 1009–1017. 12 indexed citations
12.
Tsypkin, Yakov Z. & Siniša Nikolić. (1971). Adaptation and Learning in Automatic Systems. 188 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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